Assessment of centanafadine in adults with attention-deficit/hyperactivity disorder: A matching-adjusted indirect comparison vs lisdexamfetamine dimesylate, atomoxetine hydrochloride, and viloxazine extended-release.

BACKGROUND: Head-to-head trials comparing centanafadine, an investigational therapy for adults with attention-deficit/hyperactivity disorder (ADHD), with other treatment options are lacking. OBJECTIVE: To compare safety and efficacy outcomes of centanafadine sustained-release vs lisdexamfetamine dimesylate (lisdexamfetamine), atomoxetine hydrochloride (atomoxetine), and viloxazine extended-release (viloxazine ER), respectively, using matching-adjusted indirect comparison (MAIC). METHODS: This MAIC included patient-level data pooled from 2 centanafadine trials (NCT03605680 and NCT03605836) and published aggregate data from comparable trials of 3 comparators-lisdexamfetamine (NCT00334880), atomoxetine (NCT00190736), and viloxazine ER (NCT04016779)-in adult patients with ADHD. Propensity score weighting was used to match characteristics of individual patients from the centanafadine trials to aggregate baseline characteristics from the respective comparator trials. Safety outcomes were rates of adverse events for which information was available in the centanafadine and respective comparator trials. Efficacy outcome was mean change from baseline in the Adult ADHD Investigator Symptom Rating Scale (AISRS) score (ADHD Rating Scale [ADHD-RS] was used as proxy in the comparison with lisdexamfetamine). Anchored indirect comparisons were conducted across matched populations of the centanafadine and respective comparator trials. RESULTS: After matching, baseline characteristics in the centanafadine trials were the same as those in the respective comparator trials. Compared with lisdexamfetamine, centanafadine was associated with a significantly lower risk of lack of appetite (risk difference [RD] in percentage points: 23.42), dry mouth (19.27), insomnia (15.35), anxiety (5.21), nausea (4.90), feeling jittery (3.70), and diarrhea (3.47) (all P < 0.05) but a smaller reduction in the AISRS/ADHD-RS score (6.58-point difference; P < 0.05). Compared with atomoxetine, centanafadine was associated with a significantly lower risk of nausea (RD in percentage points: 18.64), dry mouth (17.44), fatigue (9.21), erectile dysfunction (6.76), lack of appetite (6.71), and urinary hesitation (5.84) (all P < 0.05) and no statistically significant difference in the change in AISRS score. Compared with viloxazine ER, centanafadine was associated with a significantly lower risk of fatigue (RD in percentage points: 11.07), insomnia (10.67), nausea (7.57), and constipation (4.63) (all P < 0.05) and no statistically significant difference in the change in AISRS score. CONCLUSIONS: In an anchored MAIC, centanafadine showed a significantly better short-term safety profile than lisdexamfetamine, atomoxetine, and viloxazine ER; efficacy was lower than with lisdexamfetamine and comparable (ie, nondifferent) with atomoxetine and viloxazine ER. This MAIC provides important insights on the relative safety and efficacy of common treatment options to help inform treatment decisions in adults with ADHD. Safety assessment was limited to rates of adverse events reported in both trials of a given comparison. STUDY REGISTRATION NUMBERS: NCT03605680, NCT03605836, NCT00334880, NCT00190736, and NCT04016779.

Health care resource utilization and costs associated with psychiatric comorbidities in adult patients with attention-deficit/hyperactivity disorder.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a heterogeneous condition with extensive psychiatric comorbidities. ADHD has been associated with substantial clinical and economic burden; however, little is known about the incremental burden specifically attributable to psychiatric comorbidities of ADHD in adults. OBJECTIVE: To assess the impact of psychiatric comorbidities, specifically anxiety and depression, on health care resource utilization (HRU) and costs in treated adults with ADHD in the United States. METHODS: A retrospective case-cohort study was conducted. Adults with ADHD were identified in the IQVIA PharMetrics Plus database (10/01/2015-09/30/2021). The index date was defined as the date of initiation of a randomly selected ADHD treatment. The baseline period was defined as the 6 months prior to the index date, and the study period as the 12 months following the index date. Patients with at least 1 diagnosis for anxiety and/or depression during both the baseline and study periods were classified in the ADHD+anxiety/depression cohort, whereas those without diagnoses for anxiety or depression at any time were classified in the ADHD-only cohort. Entropy balancing was used to create reweighted cohorts with similar baseline characteristics. All-cause HRU and health care costs were assessed during the study period and compared between cohorts using regression analyses. Cost analyses were also conducted in subgroups stratified by comorbid conditions. RESULTS: After reweighting, patients in the ADHD-only cohort (N = 276,906) and ADHD+anxiety/depression cohort (N = 217,944) had similar characteristics (mean age 34.1 years; 54.8% male). All-cause HRU was higher in the ADHD+anxiety/depression cohort than the ADHD-only cohort (incidence rate ratios for inpatient admissions: 4.5, emergency department visits: 1.8, outpatient visits: 2.0, and psychotherapy visits: 6.4; all P < 0.01). All-cause health care costs were more than 2 times higher in the ADHD+anxiety/depression cohort than the ADHD-only cohort (mean per-patient per-year [PPPY] costs in ADHD-only vs ADHD+anxiety/depression cohort: $5,335 vs $11,315; P < 0.01). Among the ADHD+anxiety/depression cohort, average all-cause health care costs were $9,233, $10,651, and $15,610 PPPY among subgroup of patients with ADHD and only anxiety, only depression, and both anxiety and depression, respectively. CONCLUSIONS: Comorbid anxiety and depression is associated with additional HRU and costs burden in patients with ADHD. Comanagement of these conditions is important and has the potential to alleviate the burden experienced by patients and the health care system.

Costs associated with adverse events during treatment episodes for adult attention-deficit/hyperactivity disorder.

OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) medication is frequently associated with adverse events (AEs), but limited real-world data exist regarding their costs from a payer's perspective. Therefore, this study evaluated the healthcare costs associated with common AEs among adult patients treated for ADHD in the US. METHODS: Eligible adults treated for ADHD were identified from a large US claims database (1 October 2015-30 September 2021). A retrospective cohort study design was used to assess excess healthcare costs and costs directly related to AE-specific claims per-patient-per-month (PPPM) associated with 10 selected AEs during ADHD treatment. To account for all costs associated with the AE, treatment episodes with a given AE were compared to similar treatment episodes without this AE. Entropy balancing was used to create cohorts with similar characteristics. Studied AEs were selected based on their prevalence in clinical trials for common ADHD medications and were identified from ICD-10-CM diagnosis codes recorded in claims. RESULTS: Among the 461,464 patients included (mean age: 34.2 years; 45.5% males), 49.4% had ≥1 AE during their treatment episode. Treatment episodes with AEs were associated with statistically significant AE-specific medical costs (erectile dysfunction: $57; fatigue: $82; dry mouth: $90; diarrhea: $162; insomnia: $147; anxiety: $281; nausea: $299; constipation: $356; urinary hesitation: $491; feeling jittery: $723) and excess healthcare costs PPPM (erectile dysfunction: $120, fatigue: $248, insomnia: $265, anxiety: $380, diarrhea: $441, dry mouth: $485, nausea: $709, constipation: $802, urinary hesitation: $1,105, feeling jittery: $1,160; p < .05). LIMITATIONS: AEs were identified based on recorded diagnosis on medical claims and likely represent more severe AEs. Therefore, costs may not be representative of milder AEs. CONCLUSIONS: This study found that AEs occurring during ADHD treatment episodes are associated with significant healthcare costs. This highlights the potential of treatments with favorable safety profiles to alleviate the burden experienced by patients and the healthcare system.

Patient journey of civilian adults diagnosed with posttraumatic stress disorder-A chart review study.

OBJECTIVE: To assess the journey of individuals from experiencing a traumatic event through onset of symptoms, diagnosis, and treatment of posttraumatic stress disorder (PTSD). METHODS: Patient- and psychiatrist-level data was collected (02/2022-05/2022) from psychiatrists who treated ≥1 civilian adult diagnosed with PTSD. Eligible charts covered civilian adults diagnosed with PTSD (2016-2020), receiving ≥1 PTSD-related treatment (selective serotonin reuptake inhibitors [SSRIs], serotonin-norepinephrine reuptake inhibitors [SNRIs], atypical antipsychotics [AAs]), and having ≥1 medical visit in the last 12 months. Collected information included clinical and treatment characteristics surrounding the PTSD diagnosis. RESULTS: A total of 273 psychiatrists contributed data on 687 patients with PTSD (average age 36.1; 60.4% female). On average, the traumatic event and symptom onset occurred 8.7 years and 6.5 years prior to PTSD diagnosis, respectively. In the 6 months before diagnosis, 88.9% of patients had received a PTSD-related treatment. At time of diagnosis, 87.8% of patients had intrusion symptoms and 78.9% had alterations in cognition/mood; 41.2% had depressive disorder and 38.7% had anxiety. Diagnosis prompted treatment changes for 79.3% of patients, receiving treatment within 1.9 months on average, often with a first-line SSRI as either monotherapy (52.8%) or combination (24.9%). At the end of the 24-month study period, 34.4% of patients achieved psychiatrist-recorded remission. A total of 23.0% of psychiatrists expressed dissatisfaction with approved PTSD treatments, with 88.3% at least somewhat likely to prescribe AAs despite lack of FDA approval. CONCLUSION: PTSD presents heterogeneously, with an extensive journey from trauma to diagnosis with low remission rates and limited treatment options.

Impact of Invasive Escherichia Coli Disease on Clinical Outcomes and Medical Resource Utilization Among Asian Patients in the United States.

INTRODUCTION: Invasive Escherichia coli disease (IED) can lead to sepsis and death and is associated with a substantial burden. Yet, there is scarce information on the burden of IED in Asian patients. METHODS: This retrospective study used US hospital data from the PINC AI™ Healthcare database (October 2015-March 2020) to identify IED cases among patients aged ≥ 60 years. IED was defined as a positive E. coli culture in blood or other normally sterile body site (group 1 IED) or positive culture of E. coli in urine with signs of sepsis (group 2 IED). Eligible patients with IED were classified into Asian and non-Asian cohorts based on their reported race. Entropy balancing was used to create cohorts with similar characteristics. Outcomes following IED were descriptively reported in the balanced cohorts. RESULTS: A total of 646 Asian and 19,127 non-Asian patients with IED were included (median age 79 years; 68% female after balancing). For both cohorts, most IED encounters had community-onset (> 95%) and required hospitalization (Asian 96%, mean duration 6.9 days; non-Asian 95%, mean duration 6.8 days), with frequent admission to intensive care (Asian 35%, mean duration 3.3 days; non-Asian 34%, mean duration 3.5 days), all standardized differences [SD] < 0.20. Compared to non-Asian patients, Asian patients were more likely to be discharged home (54% vs. 43%; SD = 0.22), and less likely to be discharged to a skilled nursing facility (24% vs. 31%; SD = 0.16). In-hospital fatality rates during the IED encounter were similar across cohorts (Asian 9%, non-Asian 10%; SD = 0.01). Most E. coli isolates showed resistance to ≥ 1 antibiotic (Asian 61%; non-Asian 64%) and 36% to ≥ 3 antibiotic classes (all SD < 0.20). CONCLUSION: IED is associated with a substantial burden, including need for intensive care and considerable mortality, in Asian patients in the USA that is consistent with that observed for non-Asian patients.

A real-world assessment of healthcare costs associated with agitation in Alzheimer's dementia.

AIMS: To describe and compare clinical characteristics, healthcare costs, and institutionalization/mortality outcomes among patients with and without agitation associated with Alzheimer's dementia (AAD). METHODS: Data from the Reliant Medical Group database (01/01/2016-03/31/2020) were used, including claims, electronic medical records, and clinical information/physician notes abstracted from medical charts. Patients aged ≥55 years with Alzheimer's dementia (AD) were observed during a randomly selected 12-month study period after AD diagnosis. Using information recorded in medical charts, patients were classified into cohorts based on experiencing (agitation cohort) and not experiencing (no agitation cohort) agitated behaviours during the study period. Entropy balancing was used to create reweighted cohorts with similar characteristics. Study outcomes (patient demographic and clinical characteristics, treatments received, healthcare costs, institutionalization and death events) were compared between cohorts; agitation characteristics were described for the agitation cohort only. RESULTS: Among 711 patients included in the study, 240 were classified in the agitation cohort and 471 in the no agitation cohort. After reweighting, several comorbidities were more frequently observed in the agitation versus no agitation cohort, including infection, depression, and altered mental status. Use of antidepressants, anticonvulsants, antipsychotics, and antianxiety medications was more common in the agitation versus no agitation cohort. Common agitated behaviours included hitting (20.8%), pacing/aimless wandering (17.5%), and cursing/verbal aggression (15.0%). Total all-cause healthcare costs were $4287 per-patient-per-year higher in the agitation cohort versus no agitation cohort (p = 0.04), driven by higher inpatient costs. Death was more common and time to death and institutionalization were shorter in the agitation versus no agitation cohort. LIMITATIONS: Results may not be generalizable to the US population with AD. CONCLUSIONS: Among patients with AD, agitation was associated with shorter time to death/institutionalization and increased comorbidities, medication use, and healthcare costs, highlighting the additional clinical and economic burden that agitation poses to patients and the healthcare system.

Economic Burden of Delayed Diagnosis in Patients with Pulmonary Arterial Hypertension (PAH).

BACKGROUND: The aim of this study was to assess health care resource utilization (HRU) and costs associated with delayed pulmonary arterial hypertension (PAH) diagnosis in the United States. METHODS: Eligible adults with newly diagnosed PAH from Optum's de-identified Clinformatics® Data Mart Database (2016-2021) were assigned to mutually exclusive cohorts based on time between first PAH-related symptom and first PAH diagnosis (i.e., ≤12 months' delay, >12 to ≤24 months' delay, >24 months' delay). All-cause HRU and health care costs per patient per month (PPPM) were assessed during the first year following diagnosis and compared across cohorts using regression analysis adjusted for baseline covariates. Sensitivity analyses were conducted to assess outcomes during all available follow-up post-diagnosis. RESULTS: Among 538 patients (mean age: 65.6 years; 60.6% female), 60.8% had ≤12 months' delay, 23.4% had a delay of >12 to ≤24 months, and 15.8% had >24 months' delay. Compared with ≤12 months, delays of >12 to ≤24 months and >24 months were associated with increased hospitalizations (incidence rate ratio [95% confidence interval]: 1.40 [1.11-1.71] vs 1.71 [1.29-2.12]) and outpatient visits (1.17 [1.06-1.30] vs 1.26 [1.08-1.41]). Longer delays were also associated with more intensive care unit (ICU) stays and 30-day readmissions. Diagnosis delays translated into excess costs PPPM of US$3986 [1439-6436] for >12 to ≤24 months and US$5366 [2107-8524] for >24 months compared with ≤12 months' delay; increased hospitalization costs (US$3248 [1108-5135] and US$4048 [1401-6342], respectively) being the driver. Sensitivity analyses yielded similar trends. CONCLUSIONS: Delayed PAH diagnosis is associated with significant incremental economic burden post-diagnosis, driven by hospitalizations including ICU stays and 30-day readmissions, highlighting the need for increased awareness and a potential benefit of earlier screening.

Risk factors associated with newly diagnosed attention-deficit/hyperactivity disorder in adults: a retrospective case-control study.

BACKGROUND: Knowledge of risk factors for attention-deficit/hyperactivity disorder (ADHD) may facilitate early diagnosis; however, studies examining a broad range of potential risk factors for ADHD in adults are limited. This study aimed to identify risk factors associated with newly diagnosed ADHD among adults in the United States (US). METHODS: Eligible adults from the IQVIA PharMetrics® Plus database (10/01/2015-09/30/2021) were classified into the ADHD cohort if they had ≥ 2 ADHD diagnoses (index date: first ADHD diagnosis) and into the non-ADHD cohort if they had no observed ADHD diagnosis (index date: random date) with a 1:3 case-to-control ratio. Risk factors for newly diagnosed ADHD were assessed during the 12-month baseline period; logistic regression with stepwise variable selection was used to assess statistically significant association. The combined impact of selected risk factors was explored using common patient profiles. RESULTS: A total of 337,034 patients were included in the ADHD cohort (mean age 35.2 years; 54.5% female) and 1,011,102 in the non-ADHD cohort (mean age 44.0 years; 52.4% female). During the baseline period, the most frequent mental health comorbidities in the ADHD and non-ADHD cohorts were anxiety disorders (34.4% and 11.1%) and depressive disorders (27.9% and 7.8%). Accordingly, a higher proportion of patients in the ADHD cohort received antianxiety agents (20.6% and 8.3%) and antidepressants (40.9% and 15.8%). Key risk factors associated with a significantly increased probability of ADHD included the number of mental health comorbidities (odds ratio [OR] for 1 comorbidity: 1.41; ≥2 comorbidities: 1.45), along with certain mental health comorbidities (e.g., feeding and eating disorders [OR: 1.88], bipolar disorders [OR: 1.50], depressive disorders [OR: 1.37], trauma- and stressor-related disorders [OR: 1.27], anxiety disorders [OR: 1.24]), use of antidepressants (OR: 1.87) and antianxiety agents (OR: 1.40), and having ≥ 1 psychotherapy visit (OR: 1.70), ≥ 1 specialist visit (OR: 1.30), and ≥ 10 outpatient visits (OR: 1.51) (all p < 0.05). The predicted risk of ADHD for patients with treated anxiety and depressive disorders was 81.9%. CONCLUSIONS: Mental health comorbidities and related treatments are significantly associated with newly diagnosed ADHD in US adults. Screening for patients with risk factors for ADHD may allow early diagnosis and appropriate management.

Patient journey before and after a formal post-traumatic stress disorder diagnosis in adults in the United States - a retrospective claims study.

OBJECTIVE: To describe post-traumatic stress disorder (PTSD)-related symptoms and frequent psychiatric comorbidities, treatments received, healthcare resource utilization (HRU), and healthcare costs pre- and post-PTSD diagnosis among adults in the United States. METHODS: Adults with PTSD who received a PTSD-related pharmacological treatment (selective serotonin reuptake inhibitor [SSRI], serotonin-norepinephrine reuptake inhibitor [SNRI], atypical antipsychotic [AA]) within 24 months of the first observed PTSD diagnosis (index date) were identified using MarketScan Commercial Database (2015-2020). Study outcomes were assessed during the 6-month pre-diagnosis and 24-month post-diagnosis periods. Subgroup analyses included patients treated or not treated with AAs post-PTSD diagnosis. RESULTS: Of the overall patients (N = 26,306; mean age at diagnosis 39.5 years; 73.3% female), 85.9% had PTSD-related symptoms and frequent psychiatric comorbidities during the 6 months pre-diagnosis. Patients treated with AAs post-PTSD diagnosis (N = 9,298) tended to have higher rates of PTSD-related symptoms and comorbidities at diagnosis than those not treated with AAs (N = 7,011). Following diagnosis, the most commonly observed first-line treatments were SSRI (67.4%), AA (23.4%), and SNRI (22.6%). The rate of PTSD-related symptoms and comorbidities, psychotherapy and pharmacological treatments received, HRU, and healthcare costs increased during the 6 months post-diagnosis relative to the 6 months pre-diagnosis and then declined over time during the 24 months post-diagnosis. CONCLUSIONS: The PTSD diagnosis was associated with increased rates of symptoms and frequent psychiatric comorbidities, psychotherapy and pharmacological treatments received, HRU, and healthcare costs, pointing to increased patient monitoring. Within 6 to 12 months after the PTSD diagnosis, these outcomes tended to reduce, perhaps as patients were obtaining targeted and effective care.

Real-World Treatment Patterns Among Patients with Connective Tissue Disorder-Related Pulmonary Arterial Hypertension in the United States: A Retrospective Claims-Based Analysis.

INTRODUCTION: Connective tissue disorders (CTDs) are the most frequent diseases associated with pulmonary arterial hypertension (PAH). Despite advances in treatment, the prognosis of CTD-related PAH remains poor. To help identify areas for improvement in the management of CTD-related PAH, this study assessed real-world PAH treatment patterns in this population in the US. METHODS: Eligible adult patients with PAH initiated on a PAH treatment (index date: 1st initiation date) were identified from Optum's de-identified Clinformatics® Data Mart Database (10/01/2015-09/30/2021) and categorized into mutually exclusive cohorts (CTD + PAH; PAH) based on the presence of CTD diagnosis claims. Treatment patterns were assessed from the index date to the earliest of death or end of continuous insurance eligibility, or data availability. Treatment persistence was assessed using Kaplan-Meier analysis. RESULTS: A total of 4751 patients were included (CTD + PAH: n = 728, mean follow-up of 18.8 months; PAH: n = 4023, mean follow-up of 19.6 months). For both cohorts, the most common first treatment regimens were sildenafil (CTD + PAH: 38.7%; PAH: 51.5%), tadalafil (10.0%; 9.4%), and macitentan (8.1%; 5.4%) monotherapy; these were also the most frequent agents included in any of the first 3 treatment regimens. Combination therapy was more frequent in the CTD + PAH versus PAH cohort (any regimen: 40.9% vs. 27.2%; 1st treatment regimen: 26.9% vs. 18.5%; 2nd: 52.8% vs. 42.0%; 3rd: 55.2% vs. 48.5%). Treatment persistence was similar across cohorts and the first three treatment regimens, with persistence rates ranging from 42.6 to 49.7% at 12 months. CONCLUSIONS: Treatment patterns were generally similar between the CTD + PAH and PAH cohorts, although combination therapy was more frequent in the CTD + PAH cohort. Both cohorts may benefit from broader use of all available PAH treatment classes, including combination therapy. Considering the life-threatening nature of PAH, our findings also highlight the need to address the low persistence rates with PAH therapies regardless of etiology.

Clinical burden of invasive Escherichia coli disease among older adult patients treated in hospitals in the United States.

BACKGROUND: Invasive extraintestinal pathogenic Escherichia coli disease (IED) can lead to severe outcomes, particularly among older adults. However, the clinical burden of IED in the U.S. has not been well characterized. METHODS: IED encounters among patients ≥ 60 years old were identified using the PINC AI™ Healthcare Database (10/01/2015-03/31/2020) by either a positive E. coli culture in blood or another normally sterile body site and ≥ 1 sign of systemic inflammatory response syndrome or signs of sepsis, or a positive E. coli culture in urine with urinary tract infection and signs of sepsis. Medical resource utilization, clinical outcomes, and E. coli isolate characteristics were descriptively reported during the first IED encounter and during the following year (observation period). RESULTS: Overall, 19,773 patients with IED were included (mean age: 76.8 years; 67.4% female; 78.5% with signs of sepsis). Most encounters involved community-onset IED (94.3%) and required hospitalization (96.5%; mean duration: 6.9 days), with 32.4% of patients being admitted to the intensive care unit (mean duration: 3.7 days). Most E. coli isolates were resistant to ≥ 1 antibiotic category (61.7%) and 34.4% were resistant to ≥ 3 antibiotic categories. Following their first IED encounter, 34.8% of patients were transferred to a skilled nursing/intermediate care facility, whereas 6.8% had died. During the observation period, 36.8% of patients were rehospitalized, 2.4% had IED recurrence, and in-hospital death increased to 10.9%. CONCLUSIONS: IED is associated with substantial clinical burden at first encounter with considerable long-term consequences. Findings demonstrate the need for increased IED awareness and highlight potential benefits of prevention.

Enhancement and external validation of algorithms using diagnosis codes to identify invasive Escherichia coli disease.

OBJECTIVE: To assess the predictive accuracy of code-based algorithms for identifying invasive Escherichia coli (E. coli) disease (IED) among inpatient encounters in US hospitals. METHODS: The PINC AI Healthcare Database (10/01/2015-03/31/2020) was used to assess the performance of six published code-based algorithms to identify IED cases among inpatient encounters. Case-confirmed IEDs were identified based on microbiological confirmation of E. coli in a normally sterile body site (Group 1) or in urine with signs of sepsis (Group 2). Code-based algorithm performance was assessed overall, and separately for Group 1 and Group 2 based on sensitivity, specificity, positive and negative predictive value (PPV and NPV) and F1 score. The improvement in performance of refinements to the best-performing algorithm was also assessed. RESULTS: Among 2,595,983 encounters, 97,453 (3.8%) were case-confirmed IED (Group 1: 60.9%; Group 2: 39.1%). Across algorithms, specificity and NPV were excellent (>97%) for all but one algorithm, but there was a trade-off between sensitivity and PPV. The algorithm with the most balanced performance characteristics included diagnosis codes for: (1) infectious disease due to E. coli OR (2) sepsis/bacteremia/organ dysfunction combined with unspecified E. coli infection and no other concomitant non-E. coli invasive disease (sensitivity: 56.9%; PPV: 56.4%). Across subgroups, the algorithms achieved lower algorithm performance for Group 2 (sensitivity: 9.9%-61.1%; PPV: 3.8%-16.0%). CONCLUSIONS: This study assessed code-based algorithms to identify IED during inpatient encounters in a large US hospital database. Such algorithms could be useful to identify IED in healthcare databases that lack information on microbiology data.

Economic burden of invasive Escherichia coli disease among older adult patients treated in hospitals in the United States.

BACKGROUND: Although invasive Escherichia coli disease (IED) can lead to severe clinical outcomes, little is known about the associated medical resource use and cost burden of IED in US hospitals. OBJECTIVE: To comprehensively describe medical resource use and costs associated with IED during the initial IED event and over the subsequent 12 months. METHODS: Patients aged 60 years or older with 1 or more IED encounters were identified from the PINC AI Healthcare US hospital database (October 1, 2015, to March 31, 2020). The index encounter was defined as the first encounter with a positive E coli culture in a normally sterile site (group 1 IED) or positive E coli culture in urine with signs of sepsis (group 2 IED). Encounters with a positive culture from other bacteria or fungal pathogens were excluded. Outcomes were descriptively reported between admission and discharge for the index encounter and more than 1 - year post-index discharge. Medical resource use and costs included inpatient admissions and outpatient hospital services; costs were reported from a hospital's perspective (ie, charged amount) in 2021 USD. RESULTS: A total of 19,773 patients were identified (group 1 IED = 51.8%; group 2 IED = 48.2%). Mean age was 76.8 years, 67.4% were female, and 82.1% were White. Most index encounters were community-onset (94.3%) and led to hospitalization (96.5%) (mean inpatient days = 6.9 days). During the 1 - year post-index, 36.8% of patients had 1 or more all-cause hospitalizations. Mean [median] total all-cause hospital costs (as captured through the PINC AI Healthcare database) amounted to $16,760 [$11,340] during the index encounter and $10,942 [$804] during the 1 - year post-index; these costs were higher in the presence of sepsis and multidrug resistance and among hospital-onset IED. CONCLUSIONS: IED is associated with a substantial medical resource use and economic burden both during the initial encounter and over the following year in older adults. This highlights the critical need and potential benefits of preventive measures that may reduce the incidence of IED and associated economic burden. DISCLOSURES: This study was funded by Janssen Global Services, LLC. Dr Hernandez-Pastor is an employee of Janssen Pharmaceutica NV. Dr Geurtsen is an employee of Janssen Vaccines & Prevention BV. Dr Baugh is an employee of Janssen Research & Development, LLC. Dr El Khoury is an employee of Janssen Global Services, LLC. Dr Kalu and Dr Krishnarajah are employees of Janssen Scientific Affairs, LLC. Dr Gauthier-Loiselle, Ms Bungay, and Mr Cloutier are employees of Analysis Group, Inc., a consulting company that provided paid consulting services to Janssen Global Services, LLC. Dr Saade received consultation and speaker fees from Janssen.

Economic burden of illness among patients with pulmonary arterial hypertension (PAH) associated with connective tissue disorders (CTD).

Pulmonary arterial hypertension (PAH) is commonly associated with connective tissue disorders (CTDs). This study provides a contemporary assessment of the economic burden of CTD + PAH and PAH in the United States. Eligible adult patients identified from Optum's deidentified Clinformatics® Data Mart Database (10/01/2015-09/30/2021) were classified into mutually exclusive cohorts based on recorded diagnoses: (1) CTD + PAH, (2) PAH, (3) CTD, (4) control without CTD/PAH. The index date was a randomly selected diagnosis date for PAH (CTD + PAH, PAH cohorts) or CTD (CTD cohort), or a random date (control cohort). Entropy balancing was used to balance characteristics across cohorts. Healthcare costs and healthcare resource utilization (HRU) per patient per month (PPPM) were assessed for ≤12 months postindex and compared among balanced cohorts. A total of 552,900 patients were included (CTD + PAH: n = 1876; PAH: n = 8177; CTD: n = 209,156; control: n = 333,691). Average total all-cause costs were higher for CTD + PAH than PAH cohort ($16,854 vs. $15,686 PPPM; p = 0.02); both cohorts incurred higher costs than CTD and control cohorts ($4476 and $2170 PPPM; all p < 0.001). Average HRU PPPM was similar between CTD + PAH and PAH cohorts (inpatient stay: 0.15 vs. 0.15, outpatient visits: 4.23 vs. 4.11; all p > 0.05), while CTD and control cohorts incurred less HRU (inpatient stay: 0.07 and 0.03, outpatient visits: 2.67 and 1.69; all p < 0.001). CTD + PAH and PAH are associated with a substantial economic burden. The incremental burden attributable to PAH versus the general population and patients with CTD without PAH highlights significant unmet needs among PAH patients.

Treatment Patterns Among Patients with Attention-Deficit/Hyperactivity Disorder and Comorbid Anxiety and/or Depression in the United States: A Retrospective Claims Analysis.

INTRODUCTION: Patients with attention-deficit/hyperactivity disorder (ADHD) often have psychiatric comorbidities that may confound diagnosis and affect treatment outcomes and costs. The current study described treatment patterns and healthcare costs among patients with ADHD and comorbid anxiety and/or depression in the United States (USA). METHODS: Patients with ADHD initiating pharmacological treatments were identified from IBM MarketScan Data (2014-2018). The index date was the first observed ADHD treatment. Comorbidity profiles (anxiety and/or depression) were assessed during the 6-month baseline period. Treatment changes (discontinuation, switch, add-on, drop) were examined during the 12-month study period. Adjusted odds ratios (ORs) of experiencing a treatment change were estimated. Adjusted annual healthcare costs were compared between patients with and without treatment changes. RESULTS: Among 172,010 patients with ADHD (children [aged 6-12] N = 49,756; adolescents [aged 13-17] N = 29,093; adults [aged 18 +] N = 93,161), the proportion of patients with anxiety and depression increased from childhood to adulthood (anxiety 11.0%, 17.7%, 23.0%; depression 3.4%, 15.7%, 19.0%; anxiety and/or depression 12.9%, 25.4%, 32.2%). Compared with patients without the comorbidity profile, those with the comorbidity profile experienced a significantly higher odds of a treatment change (ORs [children, adolescents, adults] 1.37, 1.19, 1.19 for those with anxiety; 1.37, 1.30, 1.29 for those with depression; and 1.39, 1.25, 1.21 for those with anxiety and/or depression). Excess costs associated with a treatment change were generally higher with more treatment changes. Among patients with three or more treatment changes, annual excess costs per child, adolescent, and adult were $2234, $6557, and $3891 for those with anxiety; $4595, $3966, and $4997 for those with depression; and $2733, $5082, and $3483 for those with anxiety and/or depression. CONCLUSIONS: Over 12 months, patients with ADHD and comorbid anxiety and/or depression were significantly more likely to experience a treatment change than those without these psychiatric comorbidities and incurred higher excess costs with additional treatment changes.

Symptoms associated with ADHD/treatment-related adverse side effects and their impact on quality of life and work productivity in adults with ADHD.

OBJECTIVE: Describe symptoms associated with ADHD/treatment-related adverse side effects among adults with ADHD in the US and assess their impact on quality of life (QoL) and work productivity. METHODS: An online survey among adults receiving ADHD medications in the US was conducted to collect information relating to symptoms associated with ADHD/treatment-related adverse side effects. Participants were recruited from the panel of a well-established market research firm, Dynata, from 26 July to 30 July 2021 and were included in the study if they met the eligibility criteria and were willing to participate in the survey. Correlations between symptoms and key outcomes (QoL/employment/work impairment) were estimated using linear regression analyses. RESULTS: Of 585 participants, 95.2% experienced ≥1 symptom associated with ADHD/treatment-related adverse side effects in the past month (average = 5.8 symptoms). The number of symptoms was significantly correlated with reduced QoL, reduced probability of being employed, and increased work/activity impairment. Among subgroups with insomnia/other sleep disturbances and emotional impulsivity/mood lability, 50.4% and 44.7% reported their symptoms had "a lot" or "extremely" negative impact on their overall well-being, respectively. CONCLUSIONS: Symptoms associated with ADHD/treatment-related adverse side effects are common and have a substantial negative impact on QoL and reduces patients' probability of employment. Improved management of ADHD/treatment-related adverse side effects and more tolerable treatment options have the potential to improve QoL and work productivity among adults with ADHD.

Reasons for Treatment Changes in Children and Adolescents with Attention-Deficit/Hyperactivity Disorder: A Chart Review Study.

INTRODUCTION: This study aimed to examine the reasons underlying treatment changes among pediatric patients with attention-deficit/hyperactivity disorder (ADHD). METHODS: Data were obtained through online medical chart abstraction (08/2021-09/2021). Eligible patients with ADHD had initiated a treatment regimen at ages 6-17 and within 1-5 years of chart abstraction. Reasons contributing to treatment changes were analyzed for a randomly selected treatment episode. ADHD/treatment-related complication rate was also described. Results were reported overall and among children (ages 6-12) and adolescents (ages 13-17), separately. Physicians' perspective on adherence among their child, adolescent, and adult patients was assessed through an online survey. RESULTS: A total of 156 physicians abstracted 434 patient charts (235 children + 199 adolescents). Mean patient age was 11.3 years, and 68.7% were male. Inadequate/suboptimal symptom management was the most common reason for treatment discontinuation (50/83 [60.2%]), add-on (17/21 [81.0%]), and dose increase (189/237 [79.7%]). Patient/parent/family attitude/dislike of medication and ADHD/treatment-related complications were common reasons for treatment discontinuation, add-on, switch, and dose decrease. Overall, 42.4% of patients had ≥ 1 documented ADHD/treatment-related complication, insomnia/sleep disturbances being the most common (9.7%). Among patients with ≥ 1 complication, 75.5% reported the experience/fear of complications had a negative impact on their treatment adherence. Results were similar among children and adolescents. Physicians reported taking actions toward patients' non-adherence by further educating patients, closer monitoring, and changing the prescribed ADHD medication. CONCLUSION: Lack of effectiveness and ADHD/treatment-related complications are important reasons for treatment changes among children and adolescents with ADHD, highlighting the need for more effective and tolerable treatments to mitigate the burden of ADHD.

NanoMi: An open source electron microscope hardware and software platform.

We outline a public license (open source) electron microscopy platform, referred to as NanoMi. NanoMi offers a modular, flexible electron microscope platform that can be utilized for a variety of applications, such as microscopy education and development of proof-of-principle experiments, and can be used to complement an existing experimental apparatus. All components are ultra-high vacuum compatible and the electron optics elements are independent from the vacuum envelope. The individual optical components are mounted on a 127 mm (5-inch) diameter half-pipe, allowing customizing of electron optics for a variety of purposes. The target capabilities include SEM, TEM, scanning TEM (STEM), and electron diffraction (ED) at up to 50 keV incident electron energy. The intended image resolution in SEM, TEM and STEM modes is ≈ 10 nm. We describe the existing components and the interfaces among components that ensure their compatibility and interchangeability. The paper provides a resource for those who consider building or utilizing their own NanoMi.

Identifying individuals with undiagnosed post-traumatic stress disorder in a large United States civilian population - a machine learning approach.

BACKGROUND: The proportion of patients with post-traumatic stress disorder (PTSD) that remain undiagnosed may be substantial. Without an accurate diagnosis, these patients may lack PTSD-targeted treatments and experience adverse health outcomes. This study used a machine learning approach to identify and describe civilian patients likely to have undiagnosed PTSD in the US commercial population. METHODS: The IBM® MarketScan® Commercial Subset (10/01/2015-12/31/2018) was used. A random forest machine learning model was developed and trained to differentiate between patients with and without PTSD using non-trauma-based features. The model was applied to patients for whom PTSD status could not be confirmed to identify individuals likely and unlikely to have undiagnosed PTSD. Patient characteristics, symptoms and complications potentially related to PTSD, treatments received, healthcare costs, and healthcare resource utilization were described separately for patients with PTSD (Actual Positive PTSD cohort), patients likely to have PTSD (Likely PTSD cohort), and patients without PTSD (Without PTSD cohort). RESULTS: A total of 44,342 patients were classified in the Actual Positive PTSD cohort, 5683 in the Likely PTSD cohort, and 2,074,471 in the Without PTSD cohort. While several symptoms/comorbidities were similar between the Actual Positive and Likely PTSD cohorts, others, including depression and anxiety disorders, suicidal thoughts/actions, and substance use, were more common in the Likely PTSD cohort, suggesting that certain symptoms may be exacerbated among those without a formal diagnosis. Mean per-patient-per-6-month healthcare costs were similar between the Actual Positive and Likely PTSD cohorts ($11,156 and $11,723) and were higher than those of the Without PTSD cohort ($3616); however, cost drivers differed between cohorts, with the Likely PTSD cohort experiencing more inpatient admissions and less outpatient visits than the Actual Positive PTSD cohort. CONCLUSIONS: These findings suggest that the lack of a PTSD diagnosis and targeted management of PTSD may result in a greater burden among undiagnosed patients and highlights the need for increased awareness of PTSD in clinical practice and among the civilian population.